AutoML Leaderboard

Best model name model_type metric_type metric_value train_time single_prediction_time
1_Default_LightGBM LightGBM rmse 141.053 16.25 0.0267
2_Default_Xgboost Xgboost rmse 140.832 5.14 0.0168
3_Default_CatBoost CatBoost rmse 139.879 14.73 0.0096
4_Default_NeuralNetwork Neural Network rmse 151.076 12.06 0.0382
5_Default_RandomForest Random Forest rmse 166.996 12.15 0.0877
10_LightGBM LightGBM rmse 140.166 17.32 0.0185
6_Xgboost Xgboost rmse 142.295 5.25 0.0171
14_CatBoost CatBoost rmse 139.952 27.59 0.0098
18_RandomForest Random Forest rmse 165.693 9.61 0.086
22_NeuralNetwork Neural Network rmse 151.287 7.51 0.0299
11_LightGBM LightGBM rmse 141.572 6.21 0.0159
7_Xgboost Xgboost rmse 142.467 4.84 0.0168
15_CatBoost CatBoost rmse 140.663 17.59 0.0095
19_RandomForest Random Forest rmse 172.158 9.13 0.0831
23_NeuralNetwork Neural Network rmse 149.387 8.78 0.0284
12_LightGBM LightGBM rmse 140.962 13.91 0.0149
8_Xgboost Xgboost rmse 140.801 4.88 0.017
16_CatBoost CatBoost rmse 140.31 13.48 0.01
20_RandomForest Random Forest rmse 157.964 17.84 0.0963
24_NeuralNetwork Neural Network rmse 152.47 10.44 0.0285
13_LightGBM LightGBM rmse 141.67 15.34 0.0147
9_Xgboost Xgboost rmse 141.798 4.49 0.0166
17_CatBoost CatBoost rmse 141.953 8.08 0.0093
21_RandomForest Random Forest rmse 157.44 20.97 0.0832
25_NeuralNetwork Neural Network rmse 151.519 10.37 0.0291
3_Default_CatBoost_GoldenFeatures CatBoost rmse 139.949 15.29 0.0249
14_CatBoost_GoldenFeatures CatBoost rmse 139.627 30.77 0.0256
10_LightGBM_GoldenFeatures LightGBM rmse 140.169 17.71 0.0285
26_CatBoost_GoldenFeatures CatBoost rmse 139.644 52.43 0.0243
27_CatBoost_GoldenFeatures CatBoost rmse 139.887 18.29 0.0262
28_CatBoost CatBoost rmse 139.792 31.28 0.0104
29_CatBoost CatBoost rmse 140.22 9.62 0.0098
30_LightGBM LightGBM rmse 140.351 8.77 0.0154
31_LightGBM_GoldenFeatures LightGBM rmse 140.321 11.57 0.0286
32_Xgboost Xgboost rmse 140.555 5.2 0.0167
33_Xgboost Xgboost rmse 141.18 5.38 0.0165
34_Xgboost Xgboost rmse 140.469 5.23 0.0187
35_Xgboost Xgboost rmse 141.584 5.49 0.0167
36_NeuralNetwork Neural Network rmse 149.262 8.97 0.0301
37_NeuralNetwork Neural Network rmse 153.63 6.36 0.0282
38_NeuralNetwork Neural Network rmse 150.007 9.38 0.0302
39_CatBoost_GoldenFeatures CatBoost rmse 139.789 28.58 0.0287
the best Ensemble Ensemble rmse 138.929 1.41 0.2275

AutoML Performance

AutoML Performance

AutoML Performance Boxplot

AutoML Performance Boxplot

Features Importance (Original Scale)

features importance across models

Scaled Features Importance (MinMax per Model)

scaled features importance across models

Spearman Correlation of Models

models spearman correlation